fbpxGreen Horizons | Amman Arab University
آفاق خضراء: تسخير أساليب التنبؤ مثل تحليل السلاسل الزمنية ومحاكاة مونت كارلو لتعزيز العمليات والإنتاجية في الاقتصادات المستدامة

 

Green Horizons

By: Dr. Moath Maqbool Al-Buhayrat

The Middle East faces pressing environmental challenges alongside rapid economic growth, making sustainable solutions essential. Accurate forecasting, using techniques like time series analysis and regression models, enables businesses and governments to predict trends in energy consumption, resource availability, and market shifts, optimizing operations while supporting green growth.

In Jordan, sustainability is recognized as key to long-term economic growth. Forecasting methods, such as moving averages and Monte Carlo simulation, help manage resources like energy and water. For example, Jordan’s focus on renewable energy and water scarcity management benefits from predictive models that enhance efficiency and reduce waste.

Smart technologies, including AI and machine learning, further refine forecasting accuracy. These tools analyze real-time data, enabling industries to reduce energy waste, boost productivity, and adapt to consumer behavior. In supply chain management, forecasting aids sustainable manufacturing by optimizing inventory and production schedules, reducing waste, and supporting green economic goals.

In conclusion, leveraging advanced forecasting techniques offers Jordan and the Middle East a strategic path toward sustainability, operational efficiency, and leadership in the green economy.